MeitY unveils DEPA handbook for trusted AI data sharing
In short
MeitY unveiled a DEPA handbook to support trusted data sharing for AI training. The handbook says institutions can work together on data while still keeping control of it, and it points to privacy, confidentiality, intellectual property, and control issues.
This matters because AI training often needs data from many sources, but sharing it safely is hard. The reporting does not say when it starts being used or which institutions will adopt it first.
What the reporting says
MeitY unveiled a DEPA handbook to support trusted data sharing for AI training. The reported handbook sets out a techno-legal framework so institutions can collaborate on data while keeping control of it, and it is meant to address privacy, confidentiality, intellectual property and institutional-control concerns. The immediate effect is clearer guidance for data collaboration, but the reporting does not say when it will take effect or who will use it first.
Why it matters
MeitY unveiled a DEPA handbook to enable trusted data sharing for AI training, with the framework described as techno-legal and focused on institutional control of data. The reporting says it is intended to help institutions collaborate while addressing privacy, confidentiality and intellectual property concerns. The immediate implication is clearer policy guidance for data sharing, but the available reporting does not state implementation timing or specific adopters.